Albert S. Berahas

Optimization & Training · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 115 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Albert S. Berahas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jorge Nocedal
  2. Dimitri P. Bertsekas
  3. John N. Tsitsiklis
  4. Angelia Nedić
  5. Yurii E. Nesterov
  6. Richard H. Byrd
  7. L. Eon Bottou
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Stephen J. Wright

Who trusts Albert S. Berahas overall

  1. Nicolas Loizou
  2. Majid Jahani
  3. Angelia Nedić
  4. Peter Richtárik
  5. S. Meng
  6. Amirhossein Reisizadeh
  7. Xiang Li
  8. Stefania Bellavia
  9. Robert Mansel Gower
  10. Xin Zhang

Papers from Albert S. Berahas's perspective

Ordered by how strongly the researchers Albert S. Berahas trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers